Normal

g01cec	Deviate of Normal distribution function
g01dac	Normal scores, accurate values
g01dcc	Normal scores, approximate variance-covariance matrix
g01dhc	Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores
g01eac	Probabilities for the standard Normal distribution
g01fac	Deviates for the Normal distribution
g01hac	Probability for the bivariate Normal distribution
g01hbc	Computes probabilities for the multivariate Normal distribution
g01nac	Cumulants and moments of quadratic forms in Normal variables
g01nbc	Moments of ratios of quadratic forms in Normal variables, and related statistics
g02gac	Fits a generalized linear model with Normal errors
g05ddc	Pseudo-random real numbers, Normal distribution
g05eac	Set up reference vector for multivariate Normal distribution
g05ezc	Pseudo-random multivariate Normal vector from reference vector
g05lac	Generates a vector of random numbers from a Normal distribution, seeds and generator number passed explicitly
g05lzc	Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly
g07bbc	Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data
g07cac	Computes t-test statistic for a difference in means between two Normal populations, confidence interval
s15abc	Cumulative Normal distribution function P(x)
s15acc	Complement of cumulative Normal distribution function Q(x)